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Running
on
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Running
on
Zero
Upload 117 files
Browse files- app.py +3 -8
- configs/opensora/inference/16x256x256.py +2 -2
- requirements.txt +1 -0
- setup.py +12 -12
app.py
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@@ -1,5 +1,5 @@
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import gradio as gr
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from huggingface_hub import hf_hub_download
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import subprocess
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import tempfile
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import shutil
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@@ -9,18 +9,13 @@ import spaces
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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import os
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def download_t5_model(model_id, save_directory):
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# Modelin tokenizer'ını ve modeli indir
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model = T5ForConditionalGeneration.from_pretrained(model_id)
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tokenizer = T5Tokenizer.from_pretrained(model_id)
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# Model ve tokenizer'ı belirtilen dizine kaydet
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if not os.path.exists(save_directory):
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os.makedirs(save_directory)
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tokenizer.save_pretrained(save_directory)
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# Model ID ve kaydedilecek dizin
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model_id = "DeepFloyd/t5-v1_1-xxl"
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import gradio as gr
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from huggingface_hub import hf_hub_download, snapshot_download
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import subprocess
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import tempfile
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import shutil
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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import os
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print ("starting the app.")
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def download_t5_model(model_id, save_directory):
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# Modelin tokenizer'ını ve modeli indir
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if not os.path.exists(save_directory):
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os.makedirs(save_directory)
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snapshot_download(repo_id="DeepFloyd/t5-v1_1-xxl",local_dir=save_directory, local_dir_use_symlinks=False)
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# Model ID ve kaydedilecek dizin
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model_id = "DeepFloyd/t5-v1_1-xxl"
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configs/opensora/inference/16x256x256.py
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@@ -7,8 +7,8 @@ model = dict(
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type="STDiT-XL/2",
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space_scale=0.5,
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time_scale=1.0,
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enable_flashattn=
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enable_layernorm_kernel=
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from_pretrained="PRETRAINED_MODEL",
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)
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vae = dict(
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type="STDiT-XL/2",
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space_scale=0.5,
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time_scale=1.0,
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enable_flashattn=False,
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enable_layernorm_kernel=False,
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from_pretrained="PRETRAINED_MODEL",
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)
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vae = dict(
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requirements.txt
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@@ -1,2 +1,3 @@
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xformers
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git+https://github.com/hpcaitech/Open-Sora.git#egg=opensora
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xformers
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git+https://github.com/hpcaitech/Open-Sora.git#egg=opensora
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transformers
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setup.py
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@@ -56,16 +56,16 @@ setup(
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],
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)
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install_options = [
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]
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subprocess.run(
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)
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],
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)
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# install_options = [
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# "--disable-pip-version-check",
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# "--no-cache-dir",
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# "--no-build-isolation",
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# "--config-settings", "--build-option=--cpp_ext",
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# "--config-settings", "--build-option=--cuda_ext"
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# ]
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# subprocess.run(
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# ["pip", "install", "-v"] + install_options + ["git+https://github.com/sandeshrajbhandari/apex.git#egg=apex"],
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# check=True,
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# capture_output=True
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# )
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